DevOps Engineer (Data & AI, Data Operations Team)

About the role

We’re always looking for the ones truly passionate about their work. If you are amongst them, you can rest assured there is a place for you in eMAG. We’ve grown very fast and are determined to keep doing so. What brought us here is our desire for continuous evolution and practical results.

More than 6000 colleagues are part of eMAG Teams. We strongly believe in people's development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to ensure that you’ll have the most talented colleagues and the proper environment to grow and achieve great results, to become what you desire on a personal and professional level. Join us, grow faster!

DevOps Engineer (Data & AI, Data Operations Team)

Join our Data Operations Team as an DevOps Engineer and play a key role in building a cutting-edge ML Platform on Google Cloud from the ground up—shaping the future of scalable, automated machine learning across the organization.

What you’ll have to do:

- Managing and optimizing ML workflows in Google Cloud Platform, Cloud Functions, and BigQuery ML; integrating CI/CD pipelines for model training and deployment; monitoring and automating model performance and retraining in Kubernetes-based environments;

- Define and manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform;

- Configuring and tuning a variety of services in order to increase system stability, performance and security;

- Capacity planning and performance tuning for high traffic events such as Black Friday;

- Adding observability and alerting to data pipelines and services;

- Testing new technologies and industry trends and assessing their fitness for our needs;

- Sharing technical expertise and helping data engineers and data scientists implement best practices that maximize performance and security;

- Identifying repetitive issues or tasks and focus on automation and implementation of permanent solutions.

What makes you a good fit:

- Have very good knowledge of Google Cloud Platform, Linux environments, containers and container orchestration solutions (Kubernetes);

- Have experience with at least one programming language (Python, Java, Ruby, PHP, etc), Shell scripting and regular expressions;

- Have solid understanding of best practices around software development, release engineering and CI/CD;

- Have good understanding of networking, operating systems, automation, distributed computing, high availability and load balancing concepts.

What makes you stand out:

- Prior experience in managing modern ML Platforms and Big Data highly-available systems;

- HashiCorp tools - Vault, Consul, Terraform;

- Experience with public cloud platforms - AWS, CGP, Azure, etc.;

- Knowledge of monitoring tools (Prometheus, Grafana, StatsD, ELK stack, LGTM stack, etc);